[helen___keller]

A good read on the topic but ultimately I don't agree with many of the author's premises, particularly with regards to the author's conclusion of whether a fast, medium, or slow takeoff is most likely.

By the author's own admission:

"Whereas today it would be relatively easy to increase the computing power available to a small project by spending a thousand times more on computing power or by waiting a few years for the price of computers to fall, it is possible that the first machine intelligence to reach the human baseline will result from a large project involving pricey supercomputers, which cannot be cheaply scaled, and that Moore’s law will by then have expired. For these reasons, although a fast or medium takeoff looks more likely, the possibility of a slow takeoff cannot be excluded"

Arguably Moore's law has already expired, and on top of that as giants like Google lead the way on AI it appears increasingly likely that if we ever reach human-level AI it will be the result of an incredibly expensive research project by a gigantic corporation, one that can't simply be scaled up at ease because it will probably utilize an entire data center. Thus I find it very likely that a "slow takeoff" is in fact the most likely outcome. A slow takeoff invalidates all the fearmongering about an intelligence explosion because we will have somewhere between years and decades to respond to the threat (assuming it is made in the public eye, such as by a giant public corporation, and not by a secret military project) before it becomes existential.